Search Results for: Intel

Please join us for two free CrowdChat events on June 2 & 3 to learn how Dell Technologies and PowerEdge enable more organizations to leverage AI with VMware & Intel. Dell Technologies is already helping their customers explore and reap the benefits of this exciting new frontier with scalable, flexible solutions designed to help you solve complex problems faster than ever.

Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) are co-developing technology to enable a federation of 29 international healthcare and research institutions led by Penn Medicine to train artificial intelligence (AI) models that identify brain tumors using a privacy-preserving technique called federated learning.

In this special guest feature, Rob Woollen from Sigma Computing asks why would we rely solely on data analysts when we have a full team of experts that know their domain? Instead of simply sitting back and hoping for a eureka moment for your business, it’s time to level out the playing field for empowered data discovery — across all business teams.

Nature Machine Intelligence published a joint paper from researchers at Intel Labs and Cornell University demonstrating the ability of Intel’s neuromorphic test chip, Loihi, to learn and recognize 10 hazardous chemicals, even in the presence of significant noise and occlusion. The work demonstrates how neuromorphic computing could be used to detect smells that are precursors to explosives, narcotics and more.

In this contributed article, Christopher Rafter, President and COO at Inzata,, writes that in the age of Big Data, you’ll hear a lot of terms tossed around. Three of the most commonly used are “business intelligence,” “data warehousing” and “data analytics.” You may wonder, however, what distinguishes these three concepts from each other so let’s take a look.

In this special guest feature, machine learning platform cnvrg.io co-founders Yochay Ettun and Leah Kolben explore how AI/ML are integral to a modern organization’s success, alongside predictions, successes and pitfalls they foresee for the technology in 2020 and beyond.

In this contributed article, Arindam Ray Chaudhuri, COO at AgreeYa, shares the new and exciting Azure AI developments. With the effective utilization of Azure Machine Learning, Azure Databricks and ONNX, organizations can build, train and deploy their machine learning models efficiently and seamlessly.

In this article we’ll drill down into the capabilities of Intel® Parallel Studio XE 2020, the latest release of a comprehensive, parallel programming tool suite that simplifies the creation and modernization of code. Using this newest release, software developers and architects can speed AI inferencing with support for Intel® Deep Learning Boost and Vector Neural Network Instructions (VNNI), designed to accelerate inner convolutional neural network (CNN) loops.

A researcher from Queen’s University Belfast has developed an innovative new algorithm that will help make artificial intelligence (AI) fairer and less biased when processing data. Companies often use AI technologies to sift through huge amounts of data in situations such as an oversubscribed job vacancy or in policing when there is a large volume of CCTV data linked to a crime.

Industry Perspectives

In this special guest feature, Sean McDermott, CEO and founder of Windward Consulting Group and RedMonocle, offers what enterprises need to know about the five levels of AIOps maturity. When maneuvering through each level, keep the long-term AIOps strategy and goals at the center to achieve the true potential of AIOps.

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White Papers

This new whitepaper from NVIDIA’s Authorized Channel Partner, PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.